ReviewSensors (Basel, Switzerland)2022
Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- Smart Exhaust Analytics: A Sensor-Based Way to Identify the Types of Engines Based on the Composition of Exhaust Gas.Sensors (Basel, Switzerland) · 2026Article
- Real-Life Assessment of Multi-Pollutant Exposure and Its Impact on the Ocular Surface: The Bike-Eye Pilot Study on Urban Cyclists in Bologna.International journal of environmental research and public health · 2025Article
- Article
- Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs.Scientific reports · 2025Article
- Innovations in Air Quality Monitoring: Sensors, IoT and Future Research.Sensors (Basel, Switzerland) · 2025Review
- Evaluation of In-Situ Low-Cost Sensor Network in a Tropical Valley, Colombia.Sensors (Basel, Switzerland) · 2025Article
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks.Environmental science & technology · 2025Article
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data.ACS ES&T air · 2024Article
- Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors.Sensors (Basel, Switzerland) · 2024Review
- Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of COHeliyon · 2024Article
- Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment.Sensors (Basel, Switzerland) · 2024Article
- Monitoring Sensors for Urban Air Quality: The Case of the Municipality of Lisbon.Sensors (Basel, Switzerland) · 2023Article
- Reliability Testing of a Low-Cost, Multi-Purpose Arduino-Based Data Logger Deployed in Several Applications Such as Outdoor Air Quality, Human Activity, Motion, and Exhaust Gas Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors.Sensors (Basel, Switzerland) · 2023Article
- Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of Things.Sensors (Basel, Switzerland) · 2023Article
- Anomaly Detection and Repairing for Improving Air Quality Monitoring.Sensors (Basel, Switzerland) · 2023Article
- A Scoping Review on Wearable Devices for Environmental Monitoring and Their Application for Health and Wellness.Sensors (Basel, Switzerland) · 2022Article
- IoT and Satellite Sensor Data Integration for Assessment of Environmental Variables: A Case Study on NOSensors (Basel, Switzerland) · 2022Article
- Optimizing Urban Air Pollution Detection Systems.Sensors (Basel, Switzerland) · 2022Article
- Monitoring Particulate Matter with Wearable Sensors and the Influence on Student Environmental Attitudes.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Low-cost sensors (LCS) are becoming popular for air quality monitoring (AQM). They promise high spatial and temporal resolutions at low-cost. In addition, citizen science applications such as personal exposure monitoring can be implemented effortlessly. However, the reliability of the data is questionable due to various error sources involved in the LCS measurement. Furthermore, sensor performance drift over time is another issue. Hence, the adoption of LCS by regulatory agencies is still evolving. Several studies have been conducted to improve the performance of low-cost sensors. This article summarizes the existing studies on the state-of-the-art of LCS for AQM. We conceptualize a step by step procedure to establish a sustainable AQM setup with LCS that can produce reliable data. The selection of sensors, calibration and evaluation, hardware setup, evaluation metrics and inferences, and end user-specific applications are various stages in the LCS-based AQM setup we propose. We present a critical analysis at every step of the AQM setup to obtain reliable data from the low-cost measurement. Finally, we conclude this study with future scope to improve the availability of air quality data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.